What Goes Into Optimizing Smart City Solutions?
Although most people do not realise it, extended periods of poor planning has made some cities lose all hope for further growth. It is imperative that all urban amenities are optimised right from the start, if it is to have any hope of being tuned up in the future. For a city to experience reasonable economic growth and evolution, its amenities need to be carefully planned and implemented. The same logic extends to smart city solutions as well. Fortunately, policy makers are not repeating the mistakes the earlier town planners did and are trying to optimise the smart city solutions to the maximum extent possible. In this article we shall discuss, what goes into optimising smart city solutions.
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For the smart city solutions to be optimised to the maximum extent possible, it is important to have all pertinent data required to do so. Working with inaccurate data or estimates will cause more harm than good in the long run. This is especially true of infrastructure based solutions, as consolidated data sets are the basis of firm decisions making in infrastructural issues. Fortunately, this process is a lot easier now, thanks to technology. It is high time city planners started leveraging Geographic Information Systems (GIS) for the good it can do in city planning and administration.
Forecasting impending changes
Thanks to globalisation, the world is a lot more dynamic now than it was before. In these days of rapid changes and progressions, predictive analytics are the need of the hour. Smart city solutions must be optimised to predict major changes, so that the local governments can be prepared for any unforeseen events that maybe around the corner. Several cities around the world are already doing this to protect cities from natural calamities like floods. Smart city solutions must be continuously updated if it is to stay relevant in the future and for this to happen smoothly, the changes need to be predicted as early as possible. Major changes to any infrastructural component requires preparation and time for implementation, so incorporating predictive measures is extremely important to minimise downtimes.
Automated solving of issues
Once the analytics part and predictive mechanisms are successfully implemented, the only part of optimisation left is strategic combining of them. With the help of advance technology of today, it is possible to easily implement a self diagnosing and repairing system for minor issues. As technology progresses, it will eventually become possible to incorporate automated troubleshooting into smart city solutions. Such a system will require no human intervention for administration greatly reducing the overhead involved in managing smart city solutions.